17937644. METHODS AND SYSTEMS FOR NON-DESTRUCTIVE EVALUATION OF STATOR INSULATION CONDITION simplified abstract (Ford Global Technologies, LLC)
Contents
- 1 METHODS AND SYSTEMS FOR NON-DESTRUCTIVE EVALUATION OF STATOR INSULATION CONDITION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHODS AND SYSTEMS FOR NON-DESTRUCTIVE EVALUATION OF STATOR INSULATION CONDITION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHODS AND SYSTEMS FOR NON-DESTRUCTIVE EVALUATION OF STATOR INSULATION CONDITION
Organization Name
Inventor(s)
Robert Schroeter of Livonia MI (US)
Jackson Lenz of Southfield MI (US)
Boratha Tan of Detroit MI (US)
METHODS AND SYSTEMS FOR NON-DESTRUCTIVE EVALUATION OF STATOR INSULATION CONDITION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17937644 titled 'METHODS AND SYSTEMS FOR NON-DESTRUCTIVE EVALUATION OF STATOR INSULATION CONDITION
Simplified Explanation
The abstract describes a method and system for an insulation system of a stator using image processing and deep learning algorithms to identify varnish distribution in the stator slots.
- Image processing and deep learning algorithms are used to analyze images of stator slots.
- An AI model is trained to identify varnish in the processed images.
- Two-dimensional presentation of varnish distribution is output from the AI model.
Potential Applications
The technology can be applied in the manufacturing and maintenance of electric motors, generators, and other rotating machinery where stators are used.
Problems Solved
1. Efficient identification of varnish distribution in stator slots. 2. Automation of the inspection process, reducing manual labor and potential errors.
Benefits
1. Improved accuracy in identifying varnish in stator slots. 2. Time and cost savings in stator inspection and maintenance processes.
Potential Commercial Applications
"Insulation System Optimization for Stators in Electric Motors and Generators"
Possible Prior Art
There may be prior art related to image processing and deep learning algorithms used in industrial applications for quality control and inspection processes.
What are the specific image processing and deep learning algorithms used in this system?
The abstract mentions the use of image processing and deep learning algorithms, but it does not specify the exact algorithms employed in the system.
How does the AI model differentiate between varnish and other materials in the stator slots?
The abstract does not provide details on how the AI model is trained to specifically identify varnish in the processed images.
Original Abstract Submitted
Methods and systems are provided for an insulation system of a stator. In one example, a method may include receiving images of the stator at an automated tool implemented at a processor of a computing system, the images depicting slots in in an inner surface of the stator, and processing the images using image processing and deep learning algorithms to provide processed images. The processed images may be input to an artificial intelligence (AI) model of the automated tool, the AI model trained to identify varnish in the processed images. obtained two-dimensional presentation of varnish distribution may be output from the AI model.
